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Natural resonance frequency identification for remote sensing and biomedical engineering using Prony method and fuzzy logic

The Egyptian Journal of Remote Sensing and Space Science • 2019
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Publication Information
Authors Osama A Elsayed, Abdallah Hammad, Eman A Abdel-Ghaffar
Keywords EEG signals
Journal The Egyptian Journal of Remote Sensing and Space Science
Publisher Not Available
Volume Not Available
Issue Not Available
Pages Not Available
publication.type International
Paper Link Open Link
Supplementary Materials Not Available
Abstract
Prony method is applied to classify both the remote sensing and the biomedical signals. The first example presented from remote sensing is the sea wave classification while the second example depicted from biomedical engineering field is the Epilepsy seizure type classification. Feature extractions of both the Global navigation satellite systems (GNSS) signal and the epilepsy seizure from a human Electroencephalograph (EEG) signal are based on the poles location of the signal.